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## study on huber fractal image compressionPosted by: selvi Created at: Friday 02nd of April 2010 06:12:10 AM Last Edited Or Replied at :Friday 02nd of April 2010 06:27:20 AM | fractal image enlargement ,
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## fractal image compression 2011 papersPosted by: Created at: Tuesday 01st of April 2014 08:05:30 AM Last Edited Or Replied at :Tuesday 01st of April 2014 08:44:58 AM | fractal image compression ,
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Please provide me papers available on Fractal Image Comressi..................[:=> Show Contents <=:] | |||

## FRACTAL COMPRESSION pptPosted by: seminar surveyer Created at: Thursday 27th of January 2011 12:48:10 AM Last Edited Or Replied at :Thursday 27th of January 2011 12:48:10 AM | fractal ppt ,
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entire image but of smaller copies of itself. For encoding of images. It is divided into domains and ranges. Binary imageBinary images can be represented using simple affine transforms because there are only two values. Colour imagesColor images are combination of grayscale images. In addition depth also comes. Encoding - How does it work?Take a starting image and divide it into small, non-overlapping, square blocks, typically called “parent blocks”. Divide each parent block into 4 each blocks, or “child blocks.” Compare each child block aga.................. [:=> Show Contents <=:] | |||

## study on huber fractal image compressionPosted by: selvi Created at: Friday 02nd of April 2010 06:12:10 AM Last Edited Or Replied at :Friday 02nd of April 2010 06:27:20 AM | fractal image enlargement ,
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could i get a clear explanation about the topic . And also could u provide me code for this topic
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## fractal image compression seminar reportPosted by: applied electronics Created at: Tuesday 29th of December 2009 04:18:36 AM Last Edited Or Replied at :Thursday 16th of February 2012 12:53:20 AM | fractal image compression matlab,
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e final output. This is the process followed to obtain many complex figures such as
the fern leaf image, Cantor dust, Sierpenski triangle etc. Natural fractals are difficult to detect. No object in nature can be infinitely reduced to obtain a self-similar portion. However every image will contain some self-similar portion which can yield a fractal at a certain scale. Thus every image may be considered to be formed of self-transformed parts of itself. These transformations which the image undergoes are affine transforms. .................. [:=> Show Contents <=:] | |||

## IMAGE COMPRESSION USING FRACTAL ALGORITHMSPosted by: nit_cal Created at: Saturday 31st of October 2009 05:54:15 AM Last Edited Or Replied at :Saturday 31st of October 2009 05:54:15 AM | image compression by dct,
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## Fractal Image CompressionPosted by: computer science crazy Created at: Tuesday 07th of April 2009 01:34:55 PM Last Edited Or Replied at :Thursday 16th of February 2012 12:53:28 AM | fractal image compression free,
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he IFS scheme which forms the basis of fractal image compression. Further work in this area was
conducted by A.Jacquin, a student of Barnsley who published several papers on this subject. He was
the first to publish an efficient algorithm based on local fractal system. Fractal image compression has the following features: Compression has high complexity. Fast image decoding High compression ratios can be achieved. These features enable applications such as computer encyclopedias, like the Microsoft Atlas that came with this technology. The technology is relatively new. Overvi.................. [:=> Show Contents <=:] | |||

## Fractal Image CompressionPosted by: computer science crazy Created at: Saturday 20th of September 2008 11:39:54 PM Last Edited Or Replied at :Monday 04th of June 2012 05:54:44 AM | Compression ,
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toring the image by eliminating the high frequency Fourier co-efficients and storing only the low
frequency coefficients. This is the principle behind the DCT transformation which forms the basis of
the JPEG scheme of image compression. Barnsley suggested that storing of images as iterated functions of parts of itself leads to efficient image compression.In the middle of the 80's this concept of IFS became popular. Barnsley and his colleagues in the Georgia University first observed the use of IFS in computerized graphics applications. They found that IFS was able to cress colour images upt.................. [:=> Show Contents <=:] |

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